A novel gas pipeline burst detection and localization method based on the FBG caliber-based sensor array

Measurement ◽  
2020 ◽  
Vol 151 ◽  
pp. 107226 ◽  
Author(s):  
Jiajian Wang ◽  
Liang Ren ◽  
Tao Jiang ◽  
Ziguang Jia ◽  
Guo-xin Wang
Keyword(s):  
Sensor Array ◽  
Gas Pipeline ◽  
Burst Detection ◽  
Localization Method ◽  
Detection And Localization

scholarly journals Hierarchical Leak Detection and Localization Method in Natural Gas Pipeline Monitoring Sensor Networks

Sensors ◽  
2011 ◽  
Vol 12 (1) ◽  
pp. 189-214 ◽  
Author(s):  
Jiangwen Wan ◽  
Yang Yu ◽  
Yinfeng Wu ◽  
Renjian Feng ◽  
Ning Yu
Keyword(s):  
Sensor Networks ◽  
Natural Gas ◽  
Leak Detection ◽  
Gas Pipeline ◽  
Localization Method ◽  
Natural Gas Pipeline ◽  
Pipeline Monitoring ◽  
Detection And Localization

Multiple Leakage Detection and Localization Method Based on Bayesian Theory and Genetic Algorithm

2014 ◽  
Vol 635-637 ◽  
pp. 924-927
Author(s):  
Tao Jin ◽  
Ze Yuan Zhou
Keyword(s):  
Genetic Algorithm ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Bayesian Theory ◽  
Leakage Detection ◽  
Localization Method ◽  
Simulation Results ◽  
Detection And Localization ◽  
Leakage Location

To detect and locate the leakage of the pipe correctly, genetic algorithm is combined with Bayesian theory to determine the leaked pipes. Leakage detection and leakage location are carried out separately. Leakage detection is conducted based on the assumption that there is only one leaked pipe, and the simulation result demonstrates its feasibility. When the leakage detection demonstrates there is leaked pipe in the water distribution system, leakage location starts. Based on the information gathered by the manometers, leakage probability in different combinations of the virtual nodal demand can be fixed according to calculating the pressure of the monitored node, then GA is applied to search the maximum Bayesian value, the pipes with maximum Bayesian leakage possibility are believed to be leaked pipes. Optimization programme was made with combination of Matlab and Epanet, numerical simulation results demonstrate the feasibility and effectiveness of the proposed method.

Detection and Localization Method of Power Quality Disturbance Based on Improved TT-Transform

2013 ◽  
Vol 433-435 ◽  
pp. 1276-1281
Author(s):  
Yan Li Song ◽  
Ran Tao ◽  
An Na Wang
Keyword(s):  
Power Quality ◽  
Maximum Element ◽  
Localization Method ◽  
Power Quality Disturbance ◽  
The Common ◽  
Power Quality Disturbances ◽  
Simulation Results ◽  
Detection And Localization ◽  
Element Sequence ◽  
Single Power

Towards the problem of power quality disturbance detecting and localization in the power system, this paper proposed a new method based on improved TT-transform. Amplitude’s mutation in maximum element sequence of the TT- module matrix’s row is detected to locate beginning and ending time of power quality disturbances. This method can not only detect single power quality disturbance, but also detect composite disturbance accurately. The simulation results show that the method proposed can accurately detect the common power quality disturbance signal.

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